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Augmenting Ordinal Methods of Attribute Weight Approximation
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Number of Authors: 3
2014 (English)In: Decision Analysis, ISSN 1545-8490, E-ISSN 1545-8504, Vol. 11, no 1, 21-26 p.Article in journal (Refereed) Published
Abstract [en]

Multicriteria decision aid (MCDA) methods have been around for quite some time. However, the elicitation of preference information in MCDA processes and the lack of supporting practical means are problematic in real-life applications. Various proposals have been made for how to eliminate some of the obstacles and methods for introducing so-called surrogate weights have proliferated in the form of ordinal ranking methods for criteria weights. Considering the decision quality, one main problem is that the input information allowed in ordinal methods is sometimes too restricted. At the same time, decision makers often possess more background information, for example, regarding the relative strengths of the criteria, and might want to use that. We propose combined methods for facilitating the elicitation process and show how this provides a way to use partial information from the strength of preference judgment over weights in assessing weights for multiattribute utility functions.

Place, publisher, year, edition, pages
2014. Vol. 11, no 1, 21-26 p.
Keyword [en]
multicriteria decision analysis, criteria weights, criteria ranking, rank order
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:su:diva-106449DOI: 10.1287/deca.2013.0289ISI: 000338928500002OAI: oai:DiVA.org:su-106449DiVA: diva2:736172
Note

AuthorCount:3;

Available from: 2014-08-05 Created: 2014-08-04 Last updated: 2017-12-05Bibliographically approved

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